National Library of Energy BETA

Sample records for monthly model evaluation

  1. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report...

    Energy Savers [EERE]

    January 2007 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, January 2007 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C,...

  2. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report...

    Office of Environmental Management (EM)

    February 2007 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, February 2007 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River,...

  3. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    March 2007 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, March 2007 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, ...

  4. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, January

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2007 | Department of Energy January 2007 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, January 2007 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding month,

  5. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, March

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2007 | Department of Energy March 2007 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, March 2007 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding month,

  6. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2006 | Department of Energy December 2006 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, December 2006 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding

  7. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, February

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2007 | Department of Energy February 2007 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, February 2007 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding

  8. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, November

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2006 | Department of Energy November 2006 Mirant Potomac River, LLC, Monthly Model Evaluation Study Report, November 2006 Docket No. EO-05-01. Order No. 202-07-02: As you are aware, Mirant Potomac River, L.L.C, (Mirant) is operating per the terms and conditions of the Administrative Compliance Order (ACO) dated June 1, 2006. Under the terms of ACO, Mirant is to deliver a monthly report to include: (1) the modeled input files and results of the daily Predictive Modeling for the preceding

  9. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report...

    Broader source: Energy.gov (indexed) [DOE]

    velocity (or exhaust volume) for each unit; (2) verification that the planned Operating Parameters utilized for Predictive Modeling in the preceding month were not exceeded, or...

  10. Microsoft Word - 122006 - Mirant Potomac River LLC - Monthly Model Evaluation Study Nov 2006 - 10350-003-106.doc

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Prepared for: Mirant Potomac River, LLC Potomac Generating Station Alexandria, VA Mirant Potomac River, LLC Monthly Model Evaluation Study Report November 2006 ENSR Corporation December 2006 Document No.: 10350-003-106-6 Prepared for: Mirant Potomac River, LLC Potomac Generating Station Alexandria, VA Mirant Potomac River, LLC Monthly Model Evaluation Study Report November 2006 _________________________________ Prepared By: Frank R. Tringale _________________________________ Reviewed By: David

  11. Eighteen-Month Final Evaluation of UPS Second Generation Diesel...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... Motor Synchronous brushless, permanent magnet Continuous power, 26 kW Peak power, 44 kW ... Van model P100H step van P100D step van Van model year 2010 2010 Engine manufacturer and ...

  12. Twelve-Month Evaluation of UPS Diesel Hybrid Electric Delivery...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Motor Synchronous brushless, permanent magnet Continuous power, 26 kW Peak power, 44 kW ... Van model P70H step van P70D step van Van model year 2007 2006 Engine manufacturer and ...

  13. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    SciTech Connect (OSTI)

    Garrett, Aaron; New, Joshua Ryan; Chandler, Theodore

    2013-01-01

    Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

  14. Markov chain decomposition of monthly rainfall into daily rainfall: Evaluation of climate change impact

    SciTech Connect (OSTI)

    Yoo, Chulsang; Lee, Jinwook; Ro, Yonghun

    2016-01-01

    This paper evaluates the effect of climate change on daily rainfall, especially on the mean number of wet days and the mean rainfall intensity. Assuming that the mechanism of daily rainfall occurrences follows the first-order Markov chain model, the possible changes in the transition probabilities are estimated by considering the climate change scenarios. Also, the change of the stationary probabilities of wet and dry day occurrences and finally the change in the number of wet days are derived for the comparison of current (1x CO2) and 2x CO2conditions. As a result of this study, the increase or decrease in the mean number of wet days was found to be not enough to explain all of the change in monthly rainfall amounts, so rainfall intensity should also be modified. The application to the Seoul weather station in Korea shows that about 30% of the total change in monthly rainfall amount can be explained by the change in the number of wet days and the remaining 70% by the change in the rainfall intensity. That is, as an effect of climate change, the increase in the rainfall intensity could be more significant than the increase in the wet days and, thus, the risk of flood will be much highly increased.

  15. Markov chain decomposition of monthly rainfall into daily rainfall: Evaluation of climate change impact

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Yoo, Chulsang; Lee, Jinwook; Ro, Yonghun

    2016-01-01

    This paper evaluates the effect of climate change on daily rainfall, especially on the mean number of wet days and the mean rainfall intensity. Assuming that the mechanism of daily rainfall occurrences follows the first-order Markov chain model, the possible changes in the transition probabilities are estimated by considering the climate change scenarios. Also, the change of the stationary probabilities of wet and dry day occurrences and finally the change in the number of wet days are derived for the comparison of current (1x CO2) and 2x CO2conditions. As a result of this study, the increase or decrease in themore » mean number of wet days was found to be not enough to explain all of the change in monthly rainfall amounts, so rainfall intensity should also be modified. The application to the Seoul weather station in Korea shows that about 30% of the total change in monthly rainfall amount can be explained by the change in the number of wet days and the remaining 70% by the change in the rainfall intensity. That is, as an effect of climate change, the increase in the rainfall intensity could be more significant than the increase in the wet days and, thus, the risk of flood will be much highly increased.« less

  16. Project Evaluation Models

    Office of Environmental Management (EM)

    ... to evaluate its performance and lowest cost of energy * Uses hourly resource data for wind and solar Renewable Energy Options * Models existing generation (Grid, backup ...

  17. Thirty-Six Month Evaluation of UPS Diesel Hybrid Electric Delivery Vans

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Thirty-Six Month Evaluation of UPS Diesel Hybrid-Electric Delivery Vans M. Lammert and K. Walkowicz Technical Report NREL/TP-5400-53503 March 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Thirty-Six Month Evaluation of UPS Diesel

  18. FedEx Gasoline Hybrid Electric Delivery Truck Evaluation: 6-Month Interim Report

    SciTech Connect (OSTI)

    Barnitt, R.

    2010-05-01

    This interim report presents partial (six months) results for a technology evaluation of gasoline hybrid electric parcel delivery trucks operated by FedEx in and around Los Angeles, CA. A 12 month in-use technology evaluation comparing in-use fuel economy and maintenance costs of GHEVs and comparative diesel parcel delivery trucks was started in April 2009. Comparison data was collected and analyzed for in-use fuel economy and fuel costs, maintenance costs, total operating costs, and vehicle uptime. In addition, this interim report presents results of parcel delivery drive cycle collection and analysis activities as well as emissions and fuel economy results of chassis dynamometer testing of a gHEV and a comparative diesel truck at the National Renewable Energy Laboratory's (NREL) ReFUEL laboratory. A final report will be issued when 12 months of in-use data have been collected and analyzed.

  19. REO Monthly

    Energy Science and Technology Software Center (OSTI)

    2010-12-31

    A spreadsheet written in Microsoft Excel that evaluates combinations of renewable energy technologies at a site and identifies the combination that minimizes life cycle cost. Constraints on the optimization such as percent of energy from renewable, available land area; available investment capital, etc make the optimization more useful. Inputs to the model include building location, number of square feet and floors; monthly energy use and cost for electric and any other fuels. Outputs include sizemore » of each RE technology total investment, utility costs, O&M costs; percent renewable; life cycle cost; rate of return; CO2 savings.« less

  20. Thirty-Six Month Evaluation of UPS Diesel Hybrid-Electric Delivery Vans

    SciTech Connect (OSTI)

    Lammert, M.; Walkowicz, K.

    2012-03-01

    This evaluation compared six hybrids and six standard diesels in UPS facilities in Phoenix, Arizona. Dispatch and maintenance practices are the same at both facilities. GPS logging, fueling, and maintenance records are used to evaluate the performance of these step delivery vans. The hybrids' average monthly mileage rate was 18% less than the diesel vans. The hybrids consistently were driven a fewer number of miles throughout the evaluation period. The hybrids idled more and operating at slower speeds than the diesels, and the diesels spent slightly more time operating at greater speeds, accounting for much of the hybrids fewer monthly miles. The average fuel economy for the hybrid vans is 13.0 mpg, 23% greater than the diesel vans 10.6 mpg. Total hybrid maintenance cost/mile of $0.141 was 9% more than the $0.130 for the diesel vans. Propulsion-related maintenance cost/mile of $0.037 for the hybrid vans was 25% more than the $0.029 for the diesel vans. Neither difference was found to be statistically significant. The hybrid group had a cumulative average of 96.3% uptime, less than the diesel group's 99.0% uptime. The hybrids experienced troubleshooting and recalibration issues related to prototype components that were primarily responsible for the lower uptime figures.

  1. Coca-Cola Refreshments Class 8 Diesel Electric Hybrid Tractor Evaluation: 13-Month Final Report

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Coca-Cola Refreshments Class 8 Diesel Electric Hybrid Tractor Evaluation: 13-Month Final Report K. Walkowicz, M. Lammert, and P. Curran Technical Report NREL/TP-5400-53502 August 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308

  2. Coca-Cola Refreshments Class 8 Diesel Electric Hybrid Tractor Evaluation: 13-Month Final Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Coca-Cola Refreshments Class 8 Diesel Electric Hybrid Tractor Evaluation: 13-Month Final Report K. Walkowicz, M. Lammert, and P. Curran Technical Report NREL/TP-5400-53502 August 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308

  3. Mirant Potomac River, LLC, Monthly Model Evaluation Study Report...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    in the MMBtu for each unit and the exit velocity (or exhaust volume) for each unit; (2) ... in MMBtu for each unit and the exit velocity (or exhaust volume) for each unit; and ...

  4. Coca-Cola Refreshments Class 8 Diesel Electric Hybrid Tractor Evaluation: 13-Month Final Report

    SciTech Connect (OSTI)

    Walkowicz, K.; Lammert, M.; Curran, P.

    2012-08-01

    This 13-month evaluation used five Kenworth T370 hybrid tractors and five Freightliner M2106 standard diesel tractors at a Coca Cola Refreshments facility in Miami, Florida. The primary objective was to evaluate the fuel economy, emissions, and operational field performance of hybrid electric vehicles when compared to similar-use conventional diesel vehicles. A random dispatch system ensures the vehicles are used in a similar manner. GPS logging, fueling, and maintenance records and laboratory dynamometer testing are used to evaluate the performance of these hybrid tractors. Both groups drive similar duty cycles with similar kinetic intensity (0.95 vs. 0.69), average speed (20.6 vs. 24.3 mph), and stops per mile (1.9 vs. 1.5). The study demonstrated the hybrid group had a 13.7% fuel economy improvement over the diesel group. Laboratory fuel economy and field fuel economy study showed similar trends along the range of KI and stops per mile. Hybrid maintenance costs were 51% lower per mile; hybrid fuel costs per mile were 12% less than for the diesels; and hybrid vehicle total cost of operation per mile was 24% less than the cost of operation for the diesel group.

  5. Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tessum, C. W.; Hill, J. D.; Marshall, J. D.

    2015-04-07

    We present results from and evaluate the performance of a 12-month, 12 km horizontal resolution year 2005 air pollution simulation for the contiguous United States using the WRF-Chem (Weather Research and Forecasting with Chemistry) meteorology and chemical transport model (CTM). We employ the 2005 US National Emissions Inventory, the Regional Atmospheric Chemistry Mechanism (RACM), and the Modal Aerosol Dynamics Model for Europe (MADE) with a volatility basis set (VBS) secondary aerosol module. Overall, model performance is comparable to contemporary modeling efforts used for regulatory and health-effects analysis, with an annual average daytime ozone (O3) mean fractional bias (MFB) of 12%more » and an annual average fine particulate matter (PM2.5) MFB of −1%. WRF-Chem, as configured here, tends to overpredict total PM2.5 at some high concentration locations and generally overpredicts average 24 h O3 concentrations. Performance is better at predicting daytime-average and daily peak O3 concentrations, which are more relevant for regulatory and health effects analyses relative to annual average values. Predictive performance for PM2.5 subspecies is mixed: the model overpredicts particulate sulfate (MFB = 36%), underpredicts particulate nitrate (MFB = −110%) and organic carbon (MFB = −29%), and relatively accurately predicts particulate ammonium (MFB = 3%) and elemental carbon (MFB = 3%), so that the accuracy in total PM2.5 predictions is to some extent a function of offsetting over- and underpredictions of PM2.5 subspecies. Model predictive performance for PM2.5 and its subspecies is in general worse in winter and in the western US than in other seasons and regions, suggesting spatial and temporal opportunities for future WRF-Chem model development and evaluation.« less

  6. Twelve-month, 12 km resolution North American WRF-Chem v3.4 air quality simulation: performance evaluation

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tessum, C. W.; Hill, J. D.; Marshall, J. D.

    2014-12-02

    We present results from and evaluate the performance of a 12 month, 12 km horizontal resolution air pollution simulation for the contiguous United States using the WRF-Chem (Weather Research and Forecasting with Chemistry) meteorology and chemical transport model (CTM). We employ the 2005 US National Emissions Inventory, the Regional Atmospheric Chemistry Mechanism (RACM), and the Modal Aerosol Dynamics Model for Europe (MADE) with a Volatility Basis Set (VBS) secondary aerosol module. Overall, model performance is comparable to contemporary models used for regulatory and health-effects analysis, with an annual average daytime ozone (O3) mean fractional bias (MFB) of 12% and anmore » annual average fine particulate matter (PM2.5) MFB of −1%. WRF-Chem, as configured here, tends to overpredict total PM2.5 at some high concentration locations, and generally overpredicts average 24 h O3 concentrations, with better performance at predicting average daytime and daily peak O3 concentrations. Predictive performance for PM2.5 subspecies is mixed: the model overpredicts particulate sulfate (MFB = 65%), underpredicts particulate nitrate (MFB = −110%) and organic carbon (MFB = −65%), and relatively accurately predicts particulate ammonium (MFB = 3%) and elemental carbon (MFB = 3%), so that the accuracy in total PM2.5 predictions is to some extent a function of offsetting over- and underpredictions of PM2.5 subspecies. Model predictive performance for PM2.5 and its subspecies is in general worse in winter and in the western US than in other seasons and regions, suggesting spatial and temporal opportunities for future WRF-Chem model development and evaluation.« less

  7. Motor vehicle mpg and market shares report: first six months of model year 1984

    SciTech Connect (OSTI)

    Hu, P.S.; Greene, D.L.; Till, L.E.

    1984-10-01

    This issue of the publication reports the sales, market shares, estimated sales-weighted fuel economies, and other estimated sales-weighted vehicle characteristics of automobiles and light trucks for the first six months of model year 1984 and for the previous five model years. Comparisons and observations are made on the trends in these vehicles from one model year to the next. An improved methodology is used to allocate the yearly mpg changes among eight components, rather than the four reported in the previous reports. Sales of automobiles showed an increase of 21.8% from the first half of model year 1983. An even more striking increase was observed in the sales of light trucks: 42.2% from the first half of model year 1983. The first six months of model year 1984 experienced a gain of 0.21 mpg in sales-weighted automobile fuel economy. In contrast, light trucks experienced a loss of 0.83 mpg in fuel economy, from 20.52 mpg in model year 1983 to 19.69 mpg in the first half of model year 1984.

  8. Geothermal Electricity Technology Evaluation Model (GETEM) Development...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Electricity Technology Evaluation Model (GETEM) Development Geothermal Electricity Technology Evaluation Model (GETEM) Development Project objective: Provide a tool for estimating...

  9. FedEx Express Gasoline Hybrid Electric Delivery Truck Evaluation: 12-Month Report

    SciTech Connect (OSTI)

    Barnitt, R.

    2011-01-01

    This report summarizes the data obtained in a 12-month comparison of three gasoline hybrid electric delivery vehicles with three comparable diesel vehicles. The data show that there was no statistical difference between operating cost per mile of the two groups of vehicles. As expected, tailpipe emissions were considerably lower across all drive cycles for the gHEV than for the diesel vehicle.

  10. St. Louis Metro Biodiesel (B20) Transit Bus Evaluation: 12-Month Final Report

    SciTech Connect (OSTI)

    Barnitt, R.; McCormick, R. L.; Lammert, M.

    2008-07-01

    The St. Louis Metro Bodiesel Transit Bus Evaluation project is being conducted under a Cooperative Research and Development Agreement between NREL and the National Biodiesel Board to evaluate the extended in-use performance of buses operating on B20 fuel. The objective of this research project is to compare B20 and ultra-low sulfur diesel buses in terms of fuel economy, veicles maintenance, engine performance, component wear, and lube oil performance.

  11. GETEM -Geothermal Electricity Technology Evaluation Model | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    GETEM -Geothermal Electricity Technology Evaluation Model GETEM -Geothermal Electricity Technology Evaluation Model A guide to providing input to GETEM, the Geothermal Electricity ...

  12. York Canyon mine evaluation. Monthly technical progress report No. 39, October 1-31, 1984

    SciTech Connect (OSTI)

    Ruggieri, S.K.

    1984-11-19

    The York Canyon mine evaluation has been completed and sent out for review and comment. Several mining companies including Consol, Plateau, and Emery have been contacted regarding future testing. York Canyon has also expressed interest in continuing the investigation. Further analysis of the York Canyon data has indicated several unknowns which should be identified during the next evaluation. Among them are the centrality of sensor position with respect to both cross and along the face axes. Also, it is felt that separation of other spatially related dust sources (e.g., conveyor, crusher, gob consolidation and air patterns) is important. In order to conduct the new headgate cutout tests, the existing longwall gallery was modified. A fan and duct work were added to simulate gob leakage in line with the headgate entry. Tracer gas concentration profiles, smoke tracers, and air velocity measurements have been taken. Primary airflows of 12,000 cfm with gob leakage of 5000 cfm and primary airflow of 7000 cfm without gob leakage gave similar results. The airflow along the face was the prime factor and not the primary airflow. The wing curtain did not have a significant impact on the tailgate operator and drum zones. It did have a marginal effect at the headgate operator zone. The use of shearer clearer spray system did have a large impact on improving the tracer gas pattern along the face, but at the same time adversely deteriorated the tailgate operator zone in two ways: higher tracer gas concentrations and water mist.

  13. Sequentially Executed Model Evaluation Framework

    SciTech Connect (OSTI)

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, such as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed

  14. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center (OSTI)

    2014-02-14

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and 1/0 through the time domain (or other discrete domain), and sample 1/0 drivers. This is a Framework library framework, and does not, itself, solve any problems or execute any modelling. The SeMe framework aids in development of models which operate on sequential information, suchmore » as time-series, where evaluation is based on prior results combined with new data for this iteration. Ha) applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed« less

  15. Sequentially Executed Model Evaluation Framework

    Energy Science and Technology Software Center (OSTI)

    2015-10-20

    Provides a message passing framework between generic input, model and output drivers, and specifies an API for developing such drivers. Also provides batch and real-time controllers which step the model and I/O through the time domain (or other discrete domain), and sample I/O drivers. This is a library framework, and does not, itself, solve any problems or execute any modeling. The SeMe framework aids in development of models which operate on sequential information, such asmore » time-series, where evaluation is based on prior results combined with new data for this iteration. Has applications in quality monitoring, and was developed as part of the CANARY-EDS software, where real-time water quality data is being analyzed for anomalies.« less

  16. Eighteen-Month Final Evaluation of UPS Second Generation Diesel Hybrid-Electric Delivery Vans

    SciTech Connect (OSTI)

    Lammert, M.; Walkowicz, K.

    2012-09-01

    A parallel hybrid-electric diesel delivery van propulsion system was evaluated at a UPS facility in Minneapolis using on-vehicle data logging, fueling, and maintenance records. Route and drive cycle analysis showed different duty cycles for hybrid vs. conventional delivery vans; routes were switched between the study groups to provide a valid comparison. The hybrids demonstrated greater advantage on the more urban routes; the initial conventional vans' routes had less dense delivery zones. The fuel economy of the hybrids on the original conventional group?s routes was 10.4 mpg vs. 9.2 mpg for the conventional group on those routes a year earlier. The hybrid group's fuel economy on the original hybrid route assignments was 9.4 mpg vs. 7.9 mpg for the conventional group on those routes a year later. There was no statistically significant difference in total maintenance cost per mile or for the vehicle total cost of operation per mile. Propulsion-related maintenance cost per mile was 77% higher for the hybrids, but only 52% more on a cost-per-delivery-day basis. Laboratory dynamometer testing demonstrated 13%-36% hybrid fuel economy improvement, depending on duty cycle, and up to a 45% improvement in ton-mi/gal. NOx emissions increased 21%-49% for the hybrids in laboratory testing.

  17. Monthly Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Environmental Management Monthly Reports - FY 2015 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These ...

  18. Monthly Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Environmental Management Monthly Reports - FY 2014 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  19. Monthly Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Environmental Management Monthly Reports - FY 2015 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  20. Monthly Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Environmental Management Monthly Reports - FY 2013 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  1. Monthly Reports

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Environmental Management Monthly Reports - FY 2012 The Department of Energy Nevada Field Office Environmental Management Program creates monthly reports for the NSSAB. These...

  2. ARM - Evaluation Product - ARM Diagnostics for Climate Model Evaluation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ProductsARM Diagnostics for Climate Model Evaluation ARM Data Discovery Browse Data Documentation Use the Data File Inventory tool to view data availability at the file level. Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Evaluation Product : ARM Diagnostics for Climate Model Evaluation [ ARM research - evaluation data product ] This data products include two types of data sets: 1. Observational data: we use long-term continuous forcing data

  3. ARM - Evaluation Product - Aerosol Modeling Testbed

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    The Aerosol Modeling Testbed (AMT) is a means of organizing a wide range of measurements into a single data set that modelers can use to evaluate the performance of aerosol, ...

  4. Monthly Energy

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    to help us understand the issues affecting energy supply and demand, the economy, and the environment. I have just come aboard as the Administrator of EIA. The Monthly Energy...

  5. EBS Model Development and Evaluation Report

    Office of Energy Efficiency and Renewable Energy (EERE)

    Enginerred Barrier Systems (EBS) model evaluation and development is fundamental to the design and analysis of disposal concepts for generic repository systems; this report centers on progress made on modeling and experimental approaches to analyze physical and chemical interactions affecting clay barrier performance.

  6. GETEM -Geothermal Electricity Technology Evaluation Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1 GETEM -Geothermal Electricity Technology Evaluation Model Background: GETEM was originally developed for the Department of Energy's Geothermal Technologies Program to provide both a method for quantifying the power generation cost from geothermal energy, and a means of assessing how technology advances might impact those generation costs. Generation cost is determined as the Levelized-Cost-of-Electricity (LCOE). The model is intended to provide representative estimates of cost and performance

  7. Theory, modeling and evaluations for the fuel cycle (Conference...

    Office of Scientific and Technical Information (OSTI)

    Conference: Theory, modeling and evaluations for the fuel cycle Citation Details In-Document Search Title: Theory, modeling and evaluations for the fuel cycle You are accessing a ...

  8. Theory, modeling and evaluations for the fuel cycle (Conference...

    Office of Scientific and Technical Information (OSTI)

    Theory, modeling and evaluations for the fuel cycle Citation Details In-Document Search Title: Theory, modeling and evaluations for the fuel cycle Authors: Talou, Patrick 1 + ...

  9. Scenario Evaluation and Regionalization Analysis (SERA) Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Evaluation and Regionalization Analysis (SERA) Model (National Renewable Energy Laboratory) Objectives Determine optimal regional infrastructure development patterns for hydrogen and other transportation fuels, given resource availability and technology cost estimates. Geospatially and temporally resolve the expansion of production, transmission, and distribution infrastructure components. Identify and characterize niche markets and synergies related to refueling station placement and early fuel

  10. Refinement and evaluation of basic longwall dust-control techniques. Twenty-eighth monthly technical letter report, August 1984

    SciTech Connect (OSTI)

    Kost, J.A.

    1984-09-06

    The objective is to evaluate the effectiveness of available dust-control technology for double-drum shearer longwall sections. A preliminary visit was made to Harris No. 2 Mine, Eastern Associated Coal Corporation, on August 9, 1984, to assess the suitability of the longwall panel and shearer drums for a comparison of the dust-control effectiveness of Thru-flush bits and pick-face-flushing vane-mounted sprays. The section and drums were found acceptable and sampling began August 15, 1984. The sampling program consisted of two distinct test periods for each spray system (A-B-A-B) and was completed on August 28, 1984. A total of 17 cutting passes was sampled with the Thru-flush bits and 19 cutting passes were sampled with the vane sprays. Preliminery analysis of the data has begun. For the first test period with Thru-flush bits, the average perpass dust levels for H ..-->.. T cuts at the shearer and tailgate sampling locations were 5.4 mg/m/sup 3/ and 7.9 mg/m/sup 3/, respectively. The average water flow to the shearer was 42.4 gpm at a water pressure of 225 psi, as measured with the BCRNL water meter installed in the shearer line just inby the water filter at the stageloader. The water pressure at the drum spray nozzle was checked and found to be 45 psi, with all shearer water sprays operating.

  11. Automated Expert Modeling and Student Evaluation

    Energy Science and Technology Software Center (OSTI)

    2012-09-12

    AEMASE searches a database of recorded events for combinations of events that are of interest. It compares matching combinations to a statistical model to determine similarity to previous events of interest and alerts the user as new matching examples are found. AEMASE is currently used by weapons tactics instructors to find situations of interest in recorded tactical training scenarios. AEMASE builds on a sub-component, the Relational Blackboard (RBB), which is being released as open-source software.more » AEMASE builds on RBB adding interactive expert model construction (automated knowledge capture) and re-evaluation of scenario data.« less

  12. Geothermal Electricity Technology Evaluation Model (GETEM) Development;

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2010 Geothermal Technology Program Peer Review Report | Department of Energy Development; 2010 Geothermal Technology Program Peer Review Report Geothermal Electricity Technology Evaluation Model (GETEM) Development; 2010 Geothermal Technology Program Peer Review Report DOE 2010 Geothermal Technologies Program Peer Review adse_001_mines.pdf (193.89 KB) More Documents & Publications Systems Engineering; 2010 Geothermal Technology Program Peer Review Report National Geothermal Student

  13. Evaluation of the Mesoscale Eta Model over the western United States. Master`s thesis

    SciTech Connect (OSTI)

    Swanson, R.T.

    1995-09-10

    The skill of the Mesoscale Eta Model is evaluated over a 6-month period from October 1, 1994 to March 31, 1995 over the western United States. This model will continue to undergo changes until and after its projected operational release in July 1995. Many diagnostics and error statistics are created to evaluate its performance as forecasts are received and archived at the University of Utah. These statistics are available on the Internet allowing researchers and operational forecasters access to them in near real-time. The Mesoscale Eta Model forecast initialized at 1200 UTC, 9 November 1994 is used as a case study to introduce many of the diagnostics developed to evaluate the model. A systematic evaluation of the average and root-mean-squared error over months and seasons reveals little significant bias in upper tropospheric fields such as 300 mb wind or 500 mb geopotential height. Moderate average errors are evident in lower tropospheric temperature. Accumulated precipitation over months and seasons indicates the model`s spinup of precipitation during the first 12 hours of the forecast cycle.

  14. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    A-1 TERMS MSC Monthly Performance Report MAY 2012 DOE... emergency scenario, search and rescue techniques, a ... Six Month Forecast By Month Enter Specified Periods ...

  15. Continuous Evaluation of Fast Processes in Climate Models Using...

    Office of Scientific and Technical Information (OSTI)

    of Fast Processes in Climate Models Using Arm Measurements Citation Details In-Document Search Title: Continuous Evaluation of Fast Processes in Climate Models Using Arm ...

  16. Evaluation of Generic EBS Design Concepts and Process Models...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Generic EBS Design Concepts and Process Models Implications to EBS Design Optimization Evaluation of Generic EBS Design Concepts and Process Models Implications to EBS Design...

  17. External Technical Review for Evaluation of System Level Modeling...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process External Technical Review for Evaluation of System Level Modeling and...

  18. Insights from modeling and observational evaluation of a precipitating...

    Office of Scientific and Technical Information (OSTI)

    Insights from modeling and observational evaluation of a precipitating continental cumulus event observed during the MC3E field campaign Title: Insights from modeling and ...

  19. GETEM - Geothermal Electricity Technology Evaluation Model | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy GETEM - Geothermal Electricity Technology Evaluation Model GETEM - Geothermal Electricity Technology Evaluation Model A guide to providing input to GETEM, the Geothermal Electricity Technology Evaluation Model. GETEM is designed to help the Geothermal Technologies Program of the U.S. Department of Energy in estimating some of the technical and economic values of its rese geothermal_electricity_technology_evaluation_model_2012.pdf (665.87 KB) More Documents & Publications U.S. DOE

  20. Evaluating Single Column Models using an ensemble approach

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Evaluating Single Column Models using an ensemble approach Hume, Timothy Bureau of Meteorology Research Centre Jakob, Christian BMRC Category: Modeling Single Column Models are a valuable tool for evaluating and improving parameterizations for climate and Numerical Weather Prediction (NWP) models. Their drawback is that they can usually only be applied if sufficient data to derive their boundary conditions (the so-called model forcing) is available. We have developed an ensemble technique that

  1. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly board meeting is open to the public. This month, participants will receive an updateon the U-233 Project.

  2. ORSSAB Monthly Board Meeting

    Office of Energy Efficiency and Renewable Energy (EERE)

    The ORSSAB MonthlyBoard meeting is open to the public. This month, participants will be briefed on the East Tennessee Technology Park Zone 1 Soils Proposed Plan.

  3. Monthly Energy Statistics

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: July 28, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  4. National Women's History Month

    Broader source: Energy.gov [DOE]

    NATIONAL WOMEN’S HISTORY MONTH is an annual declared month that highlights the contributions of women to events in history and contemporary society.

  5. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Year month Motor gasoline Avia on gasoline Kerosene type jet fuel Propane (consumer grade) ... Year month Motor gasoline Avia on gasoline Kerosene type jet fuel Propane (consumer grade) ...

  6. GETEM -Geothermal Electricity Technology Evaluation Model | Department of

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Energy -Geothermal Electricity Technology Evaluation Model GETEM -Geothermal Electricity Technology Evaluation Model A guide to providing input to GETEM, the Geothermal Electricity Technology Evaluation Model. GETEM is designed to help the Geothermal Technologies Program of the U.S. Department of Energy in estimating some of the technical and economic values of its research projects and subprograms. The tool is intended to estimate and summarize the performance and cost of various geothermal

  7. Categorizing and Evaluating the Effects of Stressors (all Conceptual Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    work) | Department of Energy Categorizing and Evaluating the Effects of Stressors (all Conceptual Model work) Categorizing and Evaluating the Effects of Stressors (all Conceptual Model work) Categorizing and Evaluating the Effects of Stressors (all Conceptual Model work) 55_risk_anl_grippo.ppt (368.5 KB) More Documents & Publications Effects on Aquatic Organisms (Acoustics and Toxicity) Effects on the Physical Environment (Hydrodynamics, and Water Quality Food Web) Categorizing and

  8. Continuous Evaluation of Fast Processes in Climate Models Using ARM

    Office of Scientific and Technical Information (OSTI)

    Measurements (Technical Report) | SciTech Connect Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements Citation Details In-Document Search Title: Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements This five-year award supports the project "Continuous Evaluation of Fast Processes in Climate Models Using ARM Measurements (FASTER)". The goal of this project is to produce accurate, consistent and comprehensive data sets for

  9. Geothermal Electricity Technology Evaluation Model | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Geothermal Electricity Technology Evaluation Model Geothermal Electricity Technology Evaluation Model The Geothermal Technologies Office has uploaded an updated version of the Geothermal Electricity Technology Evaluation Model (GETEM) provided by Idaho National Laboratory. GETEM is an Excel-based tool used to estimate the Levelized Cost of Energy for definable geothermal scenarios. Electrical power generation is the sole geothermal use considered by GETEM and does not provide assessment

  10. High-Throughput Analytical Model to Evaluate Materials for Temperature...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    High-Throughput Analytical Model to Evaluate Materials for Temperature Swing Adsorption Processes Previous Next List mcontent.jpg Julian P. Sculley, Wolfgang M. Verdegaal, Weigang...

  11. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Crude oil prices U.S. Energy Information Administration | Petroleum Marketing Monthly 3 September 2016

  12. Evaluating Energy Efficiency Policies with Energy-Economy Models

    SciTech Connect (OSTI)

    Mundaca, Luis; Neij, Lena; Worrell, Ernst; McNeil, Michael A.

    2010-08-01

    The growing complexities of energy systems, environmental problems and technology markets are driving and testing most energy-economy models to their limits. To further advance bottom-up models from a multidisciplinary energy efficiency policy evaluation perspective, we review and critically analyse bottom-up energy-economy models and corresponding evaluation studies on energy efficiency policies to induce technological change. We use the household sector as a case study. Our analysis focuses on decision frameworks for technology choice, type of evaluation being carried out, treatment of market and behavioural failures, evaluated policy instruments, and key determinants used to mimic policy instruments. Although the review confirms criticism related to energy-economy models (e.g. unrealistic representation of decision-making by consumers when choosing technologies), they provide valuable guidance for policy evaluation related to energy efficiency. Different areas to further advance models remain open, particularly related to modelling issues, techno-economic and environmental aspects, behavioural determinants, and policy considerations.

  13. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    and Ben Polly, Joseph Robertson; Polly, Ben; Collis, Jon

    2013-09-01

    This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define "explicit" input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

  14. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    Robertson, J.; Polly, B.; Collis, J.

    2013-09-01

    This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define 'explicit' input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

  15. Evaluation study of building-resolved urban dispersion models

    SciTech Connect (OSTI)

    Flaherty, Julia E.; Allwine, K Jerry; Brown, Mike J.; Coirier, WIlliam J.; Ericson, Shawn C.; Hansen, Olav R.; Huber, Alan H.; Kim, Sura; Leach, Martin J.; Mirocha, Jeff D.; Newsom, Rob K.; Patnaik, Gopal; Senocak, Inanc

    2007-09-10

    For effective emergency response and recovery planning, it is critically important that building-resolved urban dispersion models be evaluated using field data. Several full-physics computational fluid dynamics (CFD) models and semi-empirical building-resolved (SEB) models are being advanced and applied to simulating flow and dispersion in urban areas. To obtain an estimate of the current state-of-readiness of these classes of models, the Department of Homeland Security (DHS) funded a study to compare five CFD models and one SEB model with tracer data from the extensive Midtown Manhattan field study (MID05) conducted during August 2005 as part of the DHS Urban Dispersion Program (UDP; Allwine and Flaherty 2007). Six days of tracer and meteorological experiments were conducted over an approximately 2-km-by-2-km area in Midtown Manhattan just south of Central Park in New York City. A subset of these data was used for model evaluations. The study was conducted such that an evaluation team, independent of the six modeling teams, provided all the input data (e.g., building data, meteorological data and tracer release rates) and run conditions for each of four experimental periods simulated. Tracer concentration data for two of the four experimental periods were provided to the modeling teams for their own evaluation of their respective models to ensure proper setup and operation. Tracer data were not provided for the second two experimental periods to provide for an independent evaluation of the models. The tracer concentrations resulting from the model simulations were provided to the evaluation team in a standard format for consistency in inter-comparing model results. An overview of the model evaluation approach will be given followed by a discussion on the qualitative comparison of the respective models with the field data. Future model developments efforts needed to address modeling gaps identified from this study will also be discussed.

  16. GETEM -Geothermal Electricity Technology Evaluation Model

    Broader source: Energy.gov (indexed) [DOE]

    Operation and Maintenance Power Plant The model has a Summary sheet that has ... during the operation of the power plant, provided it is a production-sized well. ...

  17. Evaluation of cirrus statistics produced by general circulation models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    using ARM data cirrus statistics produced by general circulation models using ARM data Hartsock, Daniel University of Utah Mace, Gerald University of Utah Benson, Sally University of Utah Category: Modeling Our goal is to evaluate the skill of various general circulation models for producing climatological cloud statistics by comparing them to the cirrus climatology compiled over the Southern Great Plains (SGP) ARM site. This evaluation includes quantifying similar cloud properties and

  18. ORSSAB monthly meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the EM Disposal Facility from the Oak Ridge Office of Environmental Managment.

  19. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meetingis open to the public. This month the board will hear a presentation and discussthe FY 2016Oak Ridge Officeof Environmental Management's budget and prioritization.

  20. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The Oak Ridge Site Specific Advisory Board's monthly meeting is open to the public. The presentation and dicussion this month will focus on "Technology Development to Support Mercury Cleanup...

  1. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the EM Disposal Facility from the Oak Ridge Office of Environmental Managment.

  2. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the Groundwater Monitoring Program from the Oak Ridge Office of Environmental...

  3. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The Oak Ridge Site Specific Advisory Board's monthly board Meeting is open to the public. This month, DOE will discuss its Vision 2020. The presentation and conversation will focus on planning for...

  4. Electric Power Monthly

    Gasoline and Diesel Fuel Update (EIA)

    Electric Power Monthly Data for January 2016 | Release Date: March 25, 2016 | Next ... Revisions made to the March 2016 Electric Power Monthly: March 30, 2016 Tables 2.8.A-B ...

  5. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly meeting is open to the public. This month, participants will receive an update and breifing about the FY 2018 Budget Formulation and Prioritization of Projects from the Oak Ridge...

  6. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Preliminary Monthly Electric Generator Inventory (based on Form EIA-860M as a supplement to Form EIA-860) Release Date: August 24, 2016 Next Release Date: September 2016 The monthly survey Form EIA-860M, ‘Monthly Update to Annual Electric Generator Report’ supplements the annual survey form EIA-860 data with monthly information that monitors the current status of existing and proposed generating units at electric power plants with 1 megawatt or greater of combined nameplate capacity. EIA

  7. Electric Power Monthly

    Gasoline and Diesel Fuel Update (EIA)

    Electric Power Monthly > Electric Power Monthly Back Issues Electric Power Monthly Back Issues Monthly Excel files zipped 2010 January February March April May June July August September October November December 2009 January February March April May June July August September October November December 2008 January February March March Supplement April May June July August September October November December 2007 January February March April May June July August September October November

  8. Monthly Newsblast December 2012

    Office of Energy Efficiency and Renewable Energy (EERE)

    In the December 2012 Monthly Newsblast, read about a new funding opportunity, recyling Christmas trees, upcoming events, and more.

  9. National LGBT Pride Month

    Broader source: Energy.gov [DOE]

    Lesbian, Gay, Bisexual and Transgender Pride Month (LGBT Pride Month) is currently celebrated each year in the month of June to honor the 1969 Stonewall riots in Manhattan. The Stonewall riots were a tipping point for the Gay Liberation Movement in the United States.

  10. Evaluating Model Parameterizations of Arctic Processes

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Model Parameterizations of Arctic Processes S. D. Greenberg, A. R. Metcalf, J. Y. Harrington, and J. Verlinde Pennsylvania State University University Park, Pennsylvania Introduction An understanding of the arctic climate system has become a high priority research area because of its importance to global climate change (IPCC 1990). Unfortunately, our studies of this region are in their infancy and we lack a broad knowledge of the Arctic. This deficiency is due to the scarcity of observations and

  11. Evaluation of high‐level clouds in cloud resolving model...

    Office of Scientific and Technical Information (OSTI)

    Evaluation of high-level clouds in cloud resolving model 10.10022015MS000478 simulations with ARM and KWAJEX observations Key Points: * Two-moment microphysics improves simulated ...

  12. Maintenance personnel performance simulation (MAPPS) model: overview and evaluation efforts

    SciTech Connect (OSTI)

    Knee, H.E.; Haas, P.M.; Siegel, A.I.; Bartter, W.D.; Wolf, J.J.; Ryan, T.G.

    1984-01-01

    The development of the MAPPS model has been completed and the model is currently undergoing evaluation. These efforts are addressing a number of identified issues concerning practicality, acceptability, usefulness, and validity. Preliminary analysis of the evaluation data that has been collected indicates that MAPPS will provide comprehensive and reliable data for PRA purposes and for a number of other applications. The MAPPS computer simulation model provides the user with a sophisticated tool for gaining insights into tasks performed by NPP maintenance personnel. Its wide variety of input parameters and output data makes it extremely flexible for application to a number of diverse applications. With the demonstration of favorable model evaluation results, the MAPPS model will represent a valuable source of NPP maintainer reliability data and provide PRA studies with a source of data on maintainers that has previously not existed.

  13. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Monthly Performance Report June 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2013 DOE/RL-2009-113 Rev 45 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUN 2013 DOE/RL-2009-113 Rev 45 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  14. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Monthly Performance Report August 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2012 DOE/RL-2009-113 Rev 35 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report AUG 2012 DOE/RL-2009-113 Rev 35 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  15. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Monthly Performance Report February 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2012 DOE/RL-2009-113 Rev 29 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report FEB 2012 DOE/RL-2009-113 Rev 29 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  16. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Monthly Performance Report September 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2012 DOE/RL-2009-113 Rev 36 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2012 DOE/RL-2009-113 Rev 36 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  17. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Monthly Performance Report October 2012 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report OCT 2012 DOE/RL-2009-113 Rev 37 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report OCT 2012 DOE/RL-2009-113 Rev 37 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  18. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Monthly Performance Report September 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2013 DOE/RL-2009-113 Rev 48 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2013 DOE/RL-2009-113 Rev 48 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  19. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Monthly Performance Report April 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report APR 2014 DOE/RL-2009-113 Rev 55 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report APR 2014 DOE/RL-2009-113 Rev 55 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  20. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Monthly Performance Report August 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2014 DOE/RL-2009-113 Rev 59 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report AUG 2014 DOE/RL-2009-113 Rev 59 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  1. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Monthly Performance Report December 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report DEC 2013 DOE/RL-2009-113 Rev 51 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report DEC 2013 DOE/RL-2009-113 Rev 51 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  2. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 Monthly Performance Report February 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2014 DOE/RL-2009-113 Rev 53 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report FEB 2014 DOE/RL-2009-113 Rev 53 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  3. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Monthly Performance Report January 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JAN 2014 DOE/RL-2009-113 Rev 52 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JAN 2014 DOE/RL-2009-113 Rev 52 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  4. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Monthly Performance Report July 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUL 2014 DOE/RL-2009-113 Rev 58 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUL 2014 DOE/RL-2009-113 Rev 58 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  5. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Monthly Performance Report May 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2014 DOE/RL-2009-113 Rev 56 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAY 2014 DOE/RL-2009-113 Rev 56 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  6. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0 Monthly Performance Report November 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report NOV 2013 DOE/RL-2009-113 Rev 50 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report NOV 2013 DOE/RL-2009-113 Rev 50 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  7. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    60 Monthly Performance Report September 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report SEP 2014 DOE/RL-2009-113 Rev 60 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report SEP 2014 DOE/RL-2009-113 Rev 60 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  8. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 Monthly Performance Report December 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report DEC 2014 DOE/RL-2009-113 Rev 63 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report DEC 2014 DOE/RL-2009-113 Rev 63 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  9. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 Monthly Performance Report January 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JAN 2015 DOE/RL-2009-113 Rev 64 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JAN 2015 DOE/RL-2009-113 Rev 64 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  10. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Monthly Performance Report June 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2015 DOE/RL-2009-113 Rev 69 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUN 2015 DOE/RL-2009-113 Rev 69 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  11. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Monthly Performance Report May 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2015 DOE/RL-2009-113 Rev 68 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAY 2015 DOE/RL-2009-113 Rev 68 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  12. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Monthly Performance Report November 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report NOV 2014 DOE/RL-2009-113 Rev 62 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report NOV 2014 DOE/RL-2009-113 Rev 62 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  13. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    9 Monthly Performance Report April 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report APR 2016 DOE/RL-2009-113 Rev 79 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report APR 2016 DOE/RL-2009-113 Rev 79 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  14. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Monthly Performance Report February 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report FEB 2016 DOE/RL-2009-113 Rev 77 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report FEB 2016 DOE/RL-2009-113 Rev 77 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  15. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Monthly Performance Report January 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JAN 2016 DOE/RL-2009-113 Rev 76 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JAN 2016 DOE/RL-2009-113 Rev 76 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  16. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    81 Monthly Performance Report June 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report JUN 2016 DOE/RL-2009-113 Rev 81 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report JUN 2016 DOE/RL-2009-113 Rev 81 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  17. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Monthly Performance Report March 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAR 2016 DOE/RL-2009-113 Rev 78 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAR 2016 DOE/RL-2009-113 Rev 78 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  18. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    0 Monthly Performance Report May 2016 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report MAY 2016 DOE/RL-2009-113 Rev 80 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report MAY 2016 DOE/RL-2009-113 Rev 80 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  19. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 Monthly Performance Report October 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report OCT 2015 DOE/RL-2009-113 Rev 73 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report OCT 2015 DOE/RL-2009-113 Rev 73 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  20. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    7 Monthly Performance Report August 2013 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report AUG 2013 DOE/RL-2009-113 Rev 47 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report AUG 2013 DOE/RL-2009-113 Rev 47 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  1. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    3 Monthly Performance Report December 2009 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report December 2009 DOE/RL-2009-113 REV 3 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report December 2009 DOE/RL-2009-113 REV 3 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  2. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    4 Monthly Performance Report January 2010 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report January 2010 DOE/RL-2009-113 REV 4 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report January 2010 DOE/RL-2009-113 REV 4 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  3. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monthly Performance Report November 2009 F.A. Figueroa President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report November 2009 DOE/RL-2009-113 REV 2 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report November 2009 DOE/RL-2009-113 REV 2 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  4. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Monthly Performance Report June 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report June 2011 DOE/RL-2009-113 REV 21 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report June 2011 DOE/RL-2009-113 REV 21 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  5. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    8 Monthly Performance Report March 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report March 2011 DOE/RL-2009-113 REV 18 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report March 2011 DOE/RL-2009-113 REV 18 iii CONTENTS OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  6. MSC Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Monthly Performance Report November 2011 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 MSC Monthly Performance Report Nov 2011 DOE/RL-2009-113 Rev 26 ii This page intentionally left blank. CONTENTS MSC Monthly Performance Report Nov 2011 DOE/RL-2009-113 Rev 26 iii CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key

  7. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Data published in the Electricity Monthly Update are compiled from the following sources: U.S. Energy Information Administration, Form EIA-826,"Monthly Electric Utility Sales and Revenues with State Distributions Report," U.S. Energy

  8. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Regional Wholesale Markets: June 2016 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England

  9. An Evaluation of Unsaturated Flow Models in an Arid Climate

    SciTech Connect (OSTI)

    Dixon, J.

    1999-12-01

    The objective of this study was to evaluate the effectiveness of two unsaturated flow models in arid regions. The area selected for the study was the Area 5 Radioactive Waste Management Site (RWMS) at the Nevada Test Site in Nye County, Nevada. The two models selected for this evaluation were HYDRUS-1D [Simunek et al., 1998] and the SHAW model [Flerchinger and Saxton, 1989]. Approximately 5 years of soil-water and atmospheric data collected from an instrumented weighing lysimeter site near the RWMS were used for building the models with actual initial and boundary conditions representative of the site. Physical processes affecting the site and model performance were explored. Model performance was based on a detailed sensitivity analysis and ultimately on storage comparisons. During the process of developing descriptive model input, procedures for converting hydraulic parameters for each model were explored. In addition, the compilation of atmospheric data collected at the site became a useful tool for developing predictive functions for future studies. The final model results were used to evaluate the capacities of the HYDRUS and SHAW models for predicting soil-moisture movement and variable surface phenomena for bare soil conditions in the arid vadose zone. The development of calibrated models along with the atmospheric and soil data collected at the site provide useful information for predicting future site performance at the RWMS.

  10. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Methodology and Documentation General The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics,...

  11. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    See all Electricity Reports Electricity Monthly Update With Data for November 2014 | Release Date: Jan. 26, 2015 | Next Release Date: Feb. 24, 2015 Previous Issues Issue:...

  12. ORSSAB Monthly Board Meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly board meetingis open to the public. The board will receive an update on the Transuranic Waste Processing Center.

  13. Native American Heritage Month

    Broader source: Energy.gov [DOE]

    This month, we celebrate the rich heritage and myriad contributions of American Indians and Alaska Natives, and we rededicate ourselves to supporting tribal sovereignty, tribal self-determination,...

  14. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains...

  15. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Contact Information and Staff The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S....

  16. National Energy Awareness Month

    Broader source: Energy.gov [DOE]

    October is National Energy Awareness Month. It's also a chance to talk about our country’s energy security and its clean energy future.

  17. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Regional Wholesale Markets: May 2015 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

  18. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Wholesale Markets: August 2015 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

  19. ORSSAB monthly meeting

    Office of Energy Efficiency and Renewable Energy (EERE)

    This month's ORSSAB board meeting will focus on the ETTP Zone 1 soils proposed plan. The meeting is open to the public.

  20. Monthly News Blast

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    YouTube Facebook Twitter Blog Past Newsletters Bioenergy Social Media & Multimedia Corner Monthly News Blast July 2013 Secretaries Moniz and Vilsack Speaking at Biomass ...

  1. Monthly Energy Review

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    December 23, 1997 Electronic Access Monthly Energy Review (MER) data are also available through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the...

  2. Electricity Monthly Update

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    as collected via the Form EIA-923. Nuclear Outages: Reflects the average daily outage amount for the month as reported by the Nuclear Regulatory Commission's Power Reactor...

  3. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Refi ner retail petroleum product prices U.S. Energy Information Administration | Petroleum Marketing Monthly 7 September 2016

  4. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Refi ner retail petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 9 September 2016

  5. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Refi ner wholesale petroleum product volumes U.S. Energy Information Administration | Petroleum Marketing Monthly 13 September 20

  6. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Year month Alaska North Slope California Kern River California Midway-Sunset Heavy Louisiana Sweet Louisiana Light Sweet Mars Blend West Texas Intermediate West Texas Sour Wyoming ...

  7. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM),...

  8. Electricity Monthly Update

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Wholesale Markets: February 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

  9. Monthly Biodiesel Production Report

    U.S. Energy Information Administration (EIA) Indexed Site

    Biodiesel (B100) production by Petroleum Administration for Defense District (PADD) ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  10. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    5 Monthly Performance Report February 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 This page intentionally left blank. MSC Monthly Performance Report FEB 2015 DOE/RL-2009-113 Rev 65 ii CONTENTS CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  11. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Monthly Performance Report March 2015 W. K. Johnson President U.S. Department of Energy Contract DE-AC06-09RL14728 This page intentionally left blank. MSC Monthly Performance Report MAR 2015 DOE/RL-2009-113 Rev 66 ii CONTENTS CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  12. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    1 Monthly Performance Report October 2014 F. Armijo President and General Manager U.S. Department of Energy Contract DE-AC06-09RL14728 This page intentionally left blank. MSC Monthly Performance Report OCT 2014 DOE/RL-2009-113 Rev 61 ii CONTENTS CONTENTS EXECUTIVE OVERVIEW 1.0 INTRODUCTION .................................................................................................................... 1 1.1 Key Accomplishments

  13. Black History Month

    Broader source: Energy.gov [DOE]

    During National African American History Month, we pay tribute to the contributions of past generations and reaffirm our commitment to keeping the American dream alive for the next generation.  In...

  14. National Women's History Month

    Broader source: Energy.gov [DOE]

    During Women's History Month, we recall that the pioneering legacy of our grandmothers and great-grandmothers is revealed not only in our museums and history books, but also in the fierce...

  15. Disability Employment Awareness Month

    Broader source: Energy.gov [DOE]

    Utilizing the talents of all Americans is essential for our Nation to out-innovate, out-educate, and out-build the rest of the world.  During National Disability Employment Awareness Month, we...

  16. Historical Monthly Energy Review

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    73-92) Distribution Category UC-950 Historical Monthly Energy Review 1973-1992 Energy Information Administration Office of Energy Markets and End Use U.S. Department of Energy...

  17. Monthly Energy Review

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    May 26, 1998 Electronic Access Monthly Energy Review (MER) data are also avail- able through these electronic means: * ASCII text, Lotus (wk1), and Excel (xls) versions of the MER...

  18. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    in the Northeast. States from Pennsylvania to the north and east are shaded grey due to a low CDD baseline for the month, obscuring record average temperatures in that...

  19. Monthly Report 2015

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Report 2015 Monthly Report for the Reporting Period ending November 30, 2015, as required by NMED Administrative Orders dated February 27, 2014 and May 12, 2014, as Amended by NMED ...

  20. Electricity Monthly Update

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    California (CAISO) due to very low natural gas prices. Hawaii's retail electricity revenue per kilowatthour fell the most of any state for the fifth month in a row, down 24%...

  1. Electricity Monthly Update

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    not necessarily coincide with the beginning and the end of months. For example, retail revenue and sales data reported in July reflects data for billing cycles that end sometime...

  2. Monthly Performance Report

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ......... EST-I SITE INFRASTRUCTURE & UTILITIES ... SIU EST FO 3 Month Project Rates TRC 0.00 1.00 2.00 3.00 4.00 Sep-09 Oct-09 Nov-09 Dec-09 ...

  3. ORSSAB monthly board meeting

    Broader source: Energy.gov [DOE]

    The ORSSAB monthly board meeting is open to the public. The board will receive an update on the Community Reuse Organization of East Tennessee efforts at the East Tennessee Technology Park.

  4. ORSSAB monthly board meeting

    Office of Energy Efficiency and Renewable Energy (EERE)

    The ORSSAB monthly board meeting is open to the public. The board will hear a presentation and discuss the development of a comprehensive mercury strategy for the Oak Ridge Reservation.

  5. Monthly Biodiesel Production Report

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Inputs to biodiesel production million pounds Period Canola oil Corn oil Cottonseed ... Source: U.S. Energy Information Administration, Form EIA-22M "Monthly Biodiesel Production ...

  6. Petroleum Marketing Monthly

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    and propane (consumer grade) by PAD District and state thousand gallons per day Geographic area month Avia on gasoline Kerosene-type jet fuel Kerosene No. 1 dis llate Propane ...

  7. Monthly Reports 2014

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Jose R. FrancoCBFO and Robert L. McQuinnNWP dated December 29, 2014 Monthly Report for the...

  8. Women's History Month | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Women's History Month

  9. BLACK HISTORY MONTH

    Broader source: Energy.gov [DOE]

    Black History Month is an annual celebration of achievements by black Americans and a time for recognizing the central role of African Americans in U.S. history. The event grew out of “Negro History Week,” created by historian Carter G. Woodson and other prominent African Americans. Other countries around the world, including Canada and the United Kingdom, also devote a month to celebrating black history.

  10. NUG Monthly Telecon Agenda

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2th May 2016 NUG Monthly Telecon Agenda * System updates * Move/outage update, Rhine Redwood OS upgrade * Accounts and charging corrections * File system licenses * HPC software engineering seminar series * The NERSC Burst Buffer: Early User Experiences Cori Update Richard Gerber NUG Monthly, 5/12/2016 * - * - - - - * - - Upcoming Cori Outages 1 node jobs can now run for 96 hours * * * * * * - Beta Cray Compilers * * - - * - - * - * - * - - * - - - * - * * Cori Phase 2 Planned Timeline Charging

  11. Monthly Biodiesel Production Report

    U.S. Energy Information Administration (EIA) Indexed Site

    Monthly Biodiesel Production Report With data for June 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 August 2016 U.S. Energy Information Administration | Monthly Biodiesel Production Report This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or

  12. Software Platform Evaluation - Verifiable Fuel Cycle Simulation (VISION) Model

    SciTech Connect (OSTI)

    J. J. Jacobson; D. E. Shropshire; W. B. West

    2005-11-01

    The purpose of this Software Platform Evaluation (SPE) is to document the top-level evaluation of potential software platforms on which to construct a simulation model that satisfies the requirements for a Verifiable Fuel Cycle Simulation Model (VISION) of the Advanced Fuel Cycle (AFC). See the Software Requirements Specification for Verifiable Fuel Cycle Simulation (VISION) Model (INEEL/EXT-05-02643, Rev. 0) for a discussion of the objective and scope of the VISION model. VISION is intended to serve as a broad systems analysis and study tool applicable to work conducted as part of the AFCI (including costs estimates) and Generation IV reactor development studies. This document will serve as a guide for selecting the most appropriate software platform for VISION. This is a “living document” that will be modified over the course of the execution of this work.

  13. Evaluation of a stratiform cloud parameterization for general circulation models

    SciTech Connect (OSTI)

    Ghan, S.J.; Leung, L.R.; McCaa, J.

    1996-04-01

    To evaluate the relative importance of horizontal advection of cloud versus cloud formation within the grid cell of a single column model (SCM), we have performed a series of simulations with our SCM driven by a fixed vertical velocity and various rates of horizontal advection.

  14. Evaluation of the St. Lucia geothermal resource: macroeconomic models

    SciTech Connect (OSTI)

    Burris, A.E.; Trocki, L.K.; Yeamans, M.K.; Kolstad, C.D.

    1984-08-01

    A macroeconometric model describing the St. Lucian economy was developed using 1970 to 1982 economic data. Results of macroeconometric forecasts for the period 1983 through 1985 show an increase in gross domestic product (GDP) for 1983 and 1984 with a decline in 1985. The rate of population growth is expected to exceed GDP growth so that a small decline in per capita GDP will occur. We forecast that garment exports will increase, providing needed employment and foreign exchange. To obtain a longer-term but more general outlook on St. Lucia's economy, and to evaluate the benefit of geothermal energy development, we applied a nonlinear programming model. The model maximizes discounted cumulative consumption.

  15. Evaluating climate models: Should we use weather or climate observations?

    SciTech Connect (OSTI)

    Oglesby, Robert J; Erickson III, David J

    2009-12-01

    Calling the numerical models that we use for simulations of climate change 'climate models' is a bit of a misnomer. These 'general circulation models' (GCMs, AKA global climate models) and their cousins the 'regional climate models' (RCMs) are actually physically-based weather simulators. That is, these models simulate, either globally or locally, daily weather patterns in response to some change in forcing or boundary condition. These simulated weather patterns are then aggregated into climate statistics, very much as we aggregate observations into 'real climate statistics'. Traditionally, the output of GCMs has been evaluated using climate statistics, as opposed to their ability to simulate realistic daily weather observations. At the coarse global scale this may be a reasonable approach, however, as RCM's downscale to increasingly higher resolutions, the conjunction between weather and climate becomes more problematic. We present results from a series of present-day climate simulations using the WRF ARW for domains that cover North America, much of Latin America, and South Asia. The basic domains are at a 12 km resolution, but several inner domains at 4 km have also been simulated. These include regions of complex topography in Mexico, Colombia, Peru, and Sri Lanka, as well as a region of low topography and fairly homogeneous land surface type (the U.S. Great Plains). Model evaluations are performed using standard climate analyses (e.g., reanalyses; NCDC data) but also using time series of daily station observations. Preliminary results suggest little difference in the assessment of long-term mean quantities, but the variability on seasonal and interannual timescales is better described. Furthermore, the value-added by using daily weather observations as an evaluation tool increases with the model resolution.

  16. Petroleum Supply Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Supply Monthly with data for June 2016 August 2016 www.eia.gov U.S. Department of Energy Washington, DC 20585 Energy Information Administration/Petroleum Supply Monthly, ii June 2016 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report

  17. Evaluation of Black Carbon Estimations in Global Aerosol Models

    SciTech Connect (OSTI)

    Koch, D.; Schulz, M.; Kinne, Stefan; McNaughton, C. S.; Spackman, J. R.; Balkanski, Y.; Bauer, S.; Berntsen, T.; Bond, Tami C.; Boucher, Olivier; Chin, M.; Clarke, A. D.; De Luca, N.; Dentener, F.; Diehl, T.; Dubovik, O.; Easter, Richard C.; Fahey, D. W.; Feichter, J.; Fillmore, D.; Freitag, S.; Ghan, Steven J.; Ginoux, P.; Gong, S.; Horowitz, L.; Iversen, T.; Kirkevag, A.; Klimont, Z.; Kondo, Yutaka; Krol, M.; Liu, Xiaohong; Miller, R.; Montanaro, V.; Moteki, N.; Myhre, G.; Penner, J.; Perlwitz, Ja; Pitari, G.; Reddy, S.; Sahu, L.; Sakamoto, H.; Schuster, G.; Schwarz, J. P.; Seland, O.; Stier, P.; Takegawa, Nobuyuki; Takemura, T.; Textor, C.; van Aardenne, John; Zhao, Y.

    2009-11-27

    We evaluate black carbon (BC) model predictions from the AeroCom model intercomparison project by considering the diversity among year 2000 model simulations and comparing model predictions with available measurements. These model-measurement intercomparisons include BC surface and aircraft concentrations, aerosol absorption optical depth (AAOD) from AERONET and OMI retrievals and BC column estimations based on AERONET. In regions other than Asia, most models are biased high compared to surface concentration measurements. However compared with (column) AAOD or BC burden retreivals, the models are generally biased low. The average ratio of model to retrieved AAOD is less than 0.7 in South American and 0.6 in African biomass burning regions; both of these regions lack surface concentration measurements. In Asia the average model to observed ratio is 0.6 for AAOD and 0.5 for BC surface concentrations. Compared with aircraft measurements over the Americas at latitudes between 0 and 50N, the average model is a factor of 10 larger than observed, and most models exceed the measured BC standard deviation in the mid to upper troposphere. At higher latitudes the average model to aircraft BC is 0.6 and underestimate the observed BC loading in the lower and middle troposphere associated with springtime Arctic haze. Low model bias for AAOD but overestimation of surface and upper atmospheric BC concentrations at lower latitudes suggests that most models are underestimating BC absorption and should improve estimates for refractive index, particle size, and optical effects of BC coating. Retrieval uncertainties and/or differences with model diagnostic treatment may also contribute to the model-measurement disparity. Largest AeroCom model diversity occurred in northern Eurasia and the remote Arctic, regions influenced by anthropogenic sources. Changing emissions, aging, removal, or optical properties within a single model generated a smaller change in model predictions than the

  18. Monthly energy review

    SciTech Connect (OSTI)

    1997-12-01

    This document presents an overview of the Energy Information Administration`s (EIA) recent monthly energy statistics. The statistics cover the major activities of U.S. production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors.

  19. Monthly Energy Review

    SciTech Connect (OSTI)

    1996-05-28

    This publication presents an overview of the Energy information Administration`s recent monthly energy statistics. The statistics cover the major activities of US production, consumption, trade, stocks, and prices for petroleum, natural gas, coal, electricity, and nuclear energy. Also included are international energy and thermal and metric conversion factors. Two brief ``energy plugs`` (reviews of EIA publications) are included, as well.

  20. National Cybersecurity Awareness Month

    Office of Energy Efficiency and Renewable Energy (EERE)

    Every October, the Department of Energy joins the Department of Homeland Security (DHS) and others across the country in support of National Cybersecurity Awareness Month and the “Stop. Think. Connect.” campaign. This year marks the tenth year of the cybersecurity awareness campaign.

  1. Models & Tools for Evaluation of Project Options

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Models & Tools for Evaluation of Project Options Tribal Energy Program Review 2015 Lars Lisell 5/7/2015 2 Energy Audits/Energy Evaluation * Envelope/Weatherization * Lighting * HVAC * Plug loads 3 * http://www.nrel.gov/gis/ RE Resource Maps 4 * Biopower Atlas * https://mapsbeta.nrel.gov/biopower-atlas/ RE Resource Maps 5 PV Watts http://pvwatts.nrel.gov/ 6 PV Watts http://pvwatts.nrel.gov/ 7 PV Watts http://pvwatts.nrel.gov/ 8 PV Watts http://pvwatts.nrel.gov/ 9 PV Watts

  2. LOCA analysis evaluation model with TRAC-PF1/NEM

    SciTech Connect (OSTI)

    Orive Moreno, Raul; Gallego Cabezon, Ines; Garcia Sedano, Pablo

    2004-07-01

    Nowadays regulatory rules and code models development are progressing on the goal of using best-estimate approximations in applications of license. Inside this framework, IBERDROLA is developing a PWR LOCA Analysis Methodology with one double slope, by a side the development of an Evaluation Model (upper-bounding model) that covers with conservative form the different aspects from the PWR LOCA phenomenology and on the other hand, a proposal of CSAU (Code Scaling Applicability and Uncertainty) type evaluation, methodology that strictly covers the 95/95 criterion in the Peak Cladding Temperature. A structured method is established, that basically involves the following steps: 1. Selection of the Large Break LOCA like accident to analyze and of TRAC-PF1/MOD2 V99.1 NEM (PSU version) computer code like analysis tool. 2. Code Assessment, identifying the most remarkable phenomena (PIRT, Phenomena Identification and Ranking Tabulation) and estimation of a possible code deviation (bias) and uncertainties associated to the specific models that control these phenomena (critical flow mass, heat transfer, countercurrent flow, etc...). 3. Evaluation of an overall PCT uncertainty, taking into account code uncertainty, reactor initial conditions, and accident boundary conditions. Uncertainties quantification requires an excellent experiments selection that allows to define a complete evaluation matrix, and the comparison of the simulations results with the experiments measured data, as well as in the relative to the scaling of these phenomena. To simulate these experiments it was necessary to modify the original code, because it was not able to reproduce, in a qualitative way, the expected phenomenology. It can be concluded that there is a good agreement between the TRAC-PF1/NEM results and the experimental data. Once average error ({epsilon}) and standard deviation ({sigma}) for those correlations under study are obtained, these factors could be used to correct in a conservative

  3. A Model Evaluation Data Set for the Tropical ARM Sites

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Jakob, Christian

    2008-01-15

    This data set has been derived from various ARM and external data sources with the main aim of providing modelers easy access to quality controlled data for model evaluation. The data set contains highly aggregated (in time) data from a number of sources at the tropical ARM sites at Manus and Nauru. It spans the years of 1999 and 2000. The data set contains information on downward surface radiation; surface meteorology, including precipitation; atmospheric water vapor and cloud liquid water content; hydrometeor cover as a function of height; and cloud cover, cloud optical thickness and cloud top pressure information provided by the International Satellite Cloud Climatology Project (ISCCP).

  4. A Model Evaluation Data Set for the Tropical ARM Sites

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Jakob, Christian

    This data set has been derived from various ARM and external data sources with the main aim of providing modelers easy access to quality controlled data for model evaluation. The data set contains highly aggregated (in time) data from a number of sources at the tropical ARM sites at Manus and Nauru. It spans the years of 1999 and 2000. The data set contains information on downward surface radiation; surface meteorology, including precipitation; atmospheric water vapor and cloud liquid water content; hydrometeor cover as a function of height; and cloud cover, cloud optical thickness and cloud top pressure information provided by the International Satellite Cloud Climatology Project (ISCCP).

  5. Evaluation of Mesoscale Atmospheric Model for Contrail Cirrus Simulations |

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Argonne Leadership Computing Facility of contrail-to-cirrus transition (INCITE 2012). Snapshot of potential temperature fluctuation in a turbulent atmosphere. The horizontal layers are due to atmospheric stratification. Flight altitude corresponds to Z=3000 m, the contrail extends vertically from Z=3000 to Z=25000 m. Evaluation of Mesoscale Atmospheric Model for Contrail Cirrus Simulations PI Name: Roberto Paoli PI Email: paoli@cerfacs.fr Institution: CERFACS Allocation Program: INCITE

  6. Electric power monthly

    SciTech Connect (OSTI)

    Smith, Sandra R.; Johnson, Melvin; McClevey, Kenneth; Calopedis, Stephen; Bolden, Deborah

    1992-05-01

    The Electric Power Monthly is prepared by the Survey Management Division; Office of Coal, Nuclear, Electric and Alternate Fuels, Energy Information Administration (EIA), Department of Energy. This publication provides monthly statistics at the national, Census division, and State levels for net generation, fuel consumption, fuel stocks, quantity and quality of fuel, cost of fuel, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fuel are also displayed for the North American Electric Reliability Council (NERC) regions. Additionally, statistics by company and plant are published in the EPM on capability of new plants, new generation, fuel consumption, fuel stocks, quantity and quality of fuel, and cost of fuel.

  7. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1996-07-01

    Petroleum Marketing Monthly (PPM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o. b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

  8. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1996-02-01

    The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

  9. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1995-08-01

    The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data in the Petroleum Marketing Monthly.

  10. Electric power monthly

    SciTech Connect (OSTI)

    1995-08-01

    The Energy Information Administration (EIA) prepares the Electric Power Monthly (EPM) for a wide audience including Congress, Federal and State agencies, the electric utility industry, and the general public. This publication provides monthly statistics for net generation, fossil fuel consumption and stocks, quantity and quality of fossil fuels, cost of fossil fuels, electricity sales, revenue, and average revenue per kilowatthour of electricity sold. Data on net generation, fuel consumption, fuel stocks, quantity and cost of fossil fuels are also displayed for the North American Electric Reliability Council (NERC) regions. The EIA publishes statistics in the EPM on net generation by energy source, consumption, stocks, quantity, quality, and cost of fossil fuels; and capability of new generating units by company and plant. The purpose of this publication is to provide energy decisionmakers with accurate and timely information that may be used in forming various perspectives on electric issues that lie ahead.

  11. Petroleum Marketing Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. Refi ner residual fuel oil prices and volumes Source: U.S. Energy Information Administration, Form EIA-782A, "Refi ners'/Gas Plant Operators' Monthly Petroleum Product Sales Report." Source: U.S. Energy Information Administration, Form EIA-782A, "Refi ners'/Gas Plant Operators' Monthly Petroleum Product Sales Re Re Re Re Re R Re R Re e Re Re Re Re Re Re Re Re R R Re R Re e Re Re Re Re R Re R R R R Re R R Re Re R Re R Re e e R R R Re e e ep po po po po p po p po po o po o p

  12. Petroleum Supply Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Statistics U.S. Energy Information Administration | Petroleum Marketing Monthly Table 1. Crude oil prices dollars per barrel Year month Domes c fi rst purchase prices Average F.O.B.[a] cost of crude oil imports[b] Average landed cost of crude oil imports[b] Refi ner acquisi on cost of crude oil Domes c Imported Composite 1996 average 18.46 19.32 20.31 20.77 20.64 20.71 1997 average 17.23 16.94 18.11 19.61 18.53 19.04 1998 average 10.87 10.76 11.84 13.18 12.04 12.52 1999 average 15.56 16.47 17.23

  13. Monthly Report 2015

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    6 Monthly Report for the Reporting Period ending December 31, 2015 as required by NMED Administrative Orders dated February 27, 2014 and May 12, 2014, as Amended by NMED Directives dated August 29, 2014, December 9, 2014, and July 15, 2015 Waste Isolation Pilot Plant Hazardous Waste Facility Permit Number: NM4890139088-TSDF Todd Shrader/CBFO and Philip J. Breidenbach/NWP dated January 29, 2016

  14. Electric Power Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    2015 U.S. Energy Information Administration | Electric Power Monthly Appendix C Technical notes This appendix describes how the U. S. Energy Information Administration (EIA) collects, estimates, and reports electric power data in the EPM. Data quality The EPM is prepared by the Office of Electricity, Renewables & Uranium Statistics (ERUS), Energy Information Administration (EIA), U. S. Department of Energy. Quality statistics begin with the collection of the correct data. To assure this,

  15. Petroleum Supply Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Marketing Monthly September 2016 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other offi cer or employee of the United States Government. The views in this report therefore should not be construed as representing

  16. Petroleum Supply Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    8 June 2016 Appendix D Northeast Reserves Reserves inventories are not considered to be in the commercial sector and are excluded from EIA's commercial motor gasoline and distillate fuel oil supply and disposition statistics, such as those reported in the Weekly Petroleum Status Report, Petroleum Supply Monthly, and This Week In Petroleum. Northeast Home Heating Oil Reserve classifed as ultra-low sulfur distillate (15 parts per million) Terminal Operator Location Thousand Barrels Buckeye

  17. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Contact Information and Staff The Electricity Monthly Update is prepared by the Electric Power Operations Team, Office of Electricity, Renewables and Uranium Statistics, U.S. Energy Information Administration (EIA), U.S. Department of Energy. Editorial Lead: Chris Cassar (christopher.cassar@eia.gov) Senior Adviser: Bill Booth Core Team: Paul McCardle, Glenn McGrath, Stephen Scott, Tim Shear, April Lee

  18. Evaluating the Diurnal Cycle of Upper Tropospheric Humidity in Two Different Climate Models Using Satellite Observations

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Kottayil, Ajil; John, Viju; Buehler, Stefan; Mohanakumar, Kesavapillai

    2016-04-13

    The diurnal cycle of upper tropospheric humidity (UTH) is known to be influenced by such processes as convection and the formation of clouds which are parameterized in current global climate models. In this study, we evaluate the performance of two climate models, the Community Atmospheric Model version 5 (CAM-5) and the Global Atmosphere 3.0 (GA-3) model in simulating the diurnal cycle of UTH (represented by a combination of sinusoids of 12 and 24 h periods) by comparing with microwave and infrared (IR) measurements (where available). These comparisons were made over two convective land regions in South America and Africa, andmore » over oceanic regions in the Atlantic, Indian and West Pacific for the month of January 2007. We analyzed how the diurnal cycles from IR and microwave instruments differ, and the reason for the differences. Our study suggests that the differences in the diurnal cycles of IR and microwave UTH result from sampling differences due to the presence of clouds. Lastly, as noted by earlier studies, the models exhibit considerable discrepancies in diurnal amplitude and phase relative to observations, and these discrepancies have different magnitudes over land and ocean.« less

  19. Petroleum marketing monthly

    SciTech Connect (OSTI)

    1995-11-01

    The Petroleum Marketing Monthly (PMM) provides information and statistical data on a variety of crude oils and refined petroleum products. The publication presents statistics on crude oil costs and refined petroleum products sales for use by industry, government, private sector analysts, educational institutions, and consumers. Data on crude oil include the domestic first purchase price, the f.o.b. and landed cost of imported crude oil, and the refiners` acquisition cost of crude oil. Refined petroleum product sales data include motor gasoline, distillates, residuals, aviation fuels, kerosene, and propane. The Petroleum Marketing Division, Office of Oil and Gas, Energy Information Administration ensures the accuracy, quality, and confidentiality of the published data.

  20. Petroleum Supply Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    Highlights Crude oil * Monthly average crude oil prices increased in June. The average domestic crude oil fi rst purchase price rose $2.94 (7.2%), to $43.96 per barrel. * The average free-on-board (f.o.b.) cost of imported crude oil climbed $4.24 (11.1%) to $42.56 per barrel. The average landed cost of foreign crude oil increased $3.25 (8.0%), to $43.87 per barrel. * The average refi ner acquisition cost for domestic crude oil rose $2.78 (6.2%), to $47.55 per barrel. The average cost of imported

  1. Petroleum Supply Monthly

    U.S. Energy Information Administration (EIA) Indexed Site

    U.S. refi ner motor gasoline prices by grade and sales type dollars per gallon excluding taxes Year month Regular Midgrade Sales to end users Sales for resale Sales to end users Sales for resale Through retail outlets Average[a] DTW Rack Bulk Average Through retail outlets Average[a] DTW Rack Bulk Average 1985 0.925 0.917 - - - 0.843 - - - - - - 1986 0.624 0.616 - - - 0.522 - - - - - - 1987 0.659 0.650 - - - 0.569 - - - - - - 1988 0.649 0.641 - - - 0.548 - - - - - - 1989 0.720 0.714 - - - 0.618

  2. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Electric Power Sector Coal Stocks: June 2016 Stocks In June, U.S. coal stockpiles decreased to 185 million tons, down 5.2% from the previous month. As a whole, U.S. coal stockpiles are still at relatively high levels due to the mild winter experienced earlier in the year and also becaue coal continues to lose market share to natural gas in most regions of the country. Days of burn Days of burn by coal rank Capacity by days of burn The average number of days of burn held at electric power plants

  3. Electricity Monthly Update

    Gasoline and Diesel Fuel Update (EIA)

    Electricity Monthly Update Explained Highlights The Highlights page features in the center a short article about a major event or an informative topic. The left column contains bulleted highlights at the top and key indicators in a table and graphics - data you might be interested in at a glance. The right column is used for navigation. End-Use: Retail Rates/Prices and Consumption The second section presents statistics on end-use: retail rates/prices and consumption of electricity. End-use data

  4. Monthly Energy Review - April 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: May 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  5. Monthly Energy Review - August 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: August 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  6. Monthly Energy Review - January 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: January 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  7. Monthly Energy Review - May 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: May 26, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  8. Monthly Energy Review - October 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: October 26, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  9. Monthly Energy Review - November 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: November 23, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  10. Monthly Energy Review - September 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: September 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  11. Monthly Energy Review - May 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    7 DOEEIA-0035(200705) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  12. Monthly Energy Review - November 2002

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: December 6, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  13. Monthly Energy Review -January 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: January 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  14. Monthly Energy Review - February 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: February 24, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  15. Monthly Energy Review - June 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    7 DOEEIA-0035(200706) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  16. Monthly Energy Review - January 2010

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    workday of each month. Released: January 29, 2010 DOEEIA-0035(201001) Monthly Energy Review January 2010 U.S. Energy Information Administration Office of Energy Markets...

  17. Monthly Energy Review - February 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    7 DOEEIA-0035(200702) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  18. Monthly Energy Review - November 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: November 24, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  19. Monthly Energy Review - October 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    0) October 2007 Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy statistics....

  20. Monthly Energy Review - March 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: March 29, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  1. Monthly Energy Review - September 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: September 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  2. Monthly Energy Review - May 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: June 10, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  3. Monthly Energy Review - June 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: June 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  4. Monthly Energy Review - February 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: February 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  5. Monthly Energy Review - December 2002

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: December 23, 2002 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  6. Monthly Energy Review - March 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: April 2, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  7. Monthly Energy Review - October 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: October 26, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  8. Monthly Energy Review - July 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: July 27, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  9. Monthly Energy Review - February 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: February 23, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  10. Monthly Energy Review - June 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: June 30, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  11. Monthly Energy Review - April 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    7 DOEEIA-0035(200704) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  12. Monthly Energy Review - July 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: July 26, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  13. Monthly Energy Review - December 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: December 23, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  14. Monthly Energy Review - June 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: June 25, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  15. Monthly Energy Review - April 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: May 22, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  16. Monthly Energy Review - September 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: September 26, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  17. Monthly Energy Review - May 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: May 25, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  18. Monthly Energy Review - September 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: September 27, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  19. Monthly Energy Review - November 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: November 23, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  20. Monthly Energy Review - April 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: April 27, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  1. Monthly Energy Review - August 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: August 29, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  2. Monthly Energy Review - March 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    7 DOEEIA-0035(200703) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...

  3. Monthly Energy Review - December 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: December 21, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  4. Monthly Energy Review - August 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: August 28, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  5. Monthly Energy Review - April 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: April 25, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  6. Monthly Energy Review - November 2006

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: November 22, 2006 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  7. Monthly Energy Review - March 2005

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: March 31, 2005 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  8. Monthly Energy Review - October 2003

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    for Printing: October 27, 2003 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) presents an overview of the Energy Information...

  9. Monthly Energy Review - April 2004

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Released for Printing: April 28, 2004 Printed with soy ink on recycled paper. Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Admin- istration's...

  10. Monthly Energy Review - July 2007

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    7 DOEEIA-0035(200707) Monthly Energy Review The Monthly Energy Review (MER) is the Energy Information Administration's (EIA) primary report of recent and historical energy...